Results 31 to 40 of about 8,744,617 (299)
HeliyonGuar korma and churi protein isolates were assessed for their physicochemical, nutritional, functional, structural, and digestibility properties for their application in the food industry.
Bhavya Kotnala +2 more
doaj +1 more source
Everything has its Price: Foundations of Cost-Sensitive Learning and its Application in Psychology
, 2021 Psychology has seen an increase in machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification).
Philipp Sterner +2 more
core +1 more source
AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING [PDF]
Journal of Mechanics of Continua and Mathematical SciencesCardiovascular diseases (CD) are the common cause of death worldwide over in developed as well as underdeveloped and developing countries. Early detection and continuous supervision can reduce the mortality rate.
Muhammad Anas +6 more
doaj +1 more source
Hydro-power generation forecast in South Africa based on Machine Learning (ML) models
Scientific African, 2023 With the advancement of technology and the ever-growing need for electronics, electricity has become an indispensable aspect of modern life. Developing or underdeveloped nations must overcome a number of obstacles to balance the supply and demand for ...
Selaki Ivy Ramarope +2 more
doaj +1 more source
Identification of semen traces at a crime scene through Raman spectroscopy and machine learning
Scientific ReportsBiological fluid stains can be instrumental in solving crimes. Identification of semen can help reconstruct events in sexual assault cases and identify suspects via DNA profiling.
Alexey V. Borisov +5 more
doaj +1 more source
Diffusion models for 3D generation: A survey
Computational Visual MediaDenoising diffusion models have demonstrated tremendous success in modeling data distributions and synthesizing high-quality samples. In the 2D image domain, they have become the state-of-the-art and are capable of generating photo-realistic images with ...
Chen Wang +4 more
doaj +1 more source
Towards a Theory of Representation Learning for Reinforcement Learning
, 2021 Presented online via Bluejeans Events on September 15, 2021 at 12:15 p.m.Alekh Agarwal is a researcher who works on theoretical foundations of machine learning, spanning many areas including large-scale and distributed optimization, high-dimensional ...
Agarwal, Alekh
core
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Transportation Research Interdisciplinary PerspectivesAs urban transportation evolves, shared e-mobility is increasingly recognized as a socio-technical system shaping urban equity, social inclusion, and mobility behaviour.
Yue Ding +3 more
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source